Crack identification in Timoshenko beam under moving mass using RELM

被引：8

作者：

Kourehli, Seyed Sina ^{[1
]}

Ghadimi, Siamak ^{[1
]}

Ghadimi, Reza ^{[1
]}

机构：

[1] Islamic Azad Univ, Dept Civil Engn, Ahar Branch, Ahar, Iran

来源：

STEEL AND COMPOSITE STRUCTURES | 2018年 / 28卷 / 03期

关键词：

crack detection; moving mass; frequencies; regularized extreme learning machine; EXTREME LEARNING-MACHINE; DYNAMIC-RESPONSE; GENETIC ALGORITHM; MODAL-ANALYSIS; OPTIMIZATION; REGRESSION; VIBRATION; SUBJECT; ELEMENT;

D O I：

10.12989/scs.2018.28.3.279

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

In this paper, a new method has been proposed to detect crack in beam structures under moving mass using regularized extreme learning machine. For this purpose, frequencies of beam under moving mass used as input to train machine. This data is acquired by the analysis of cracked structure applying the finite element method (FEM). Also, a validation study used for verification of the FEM. To evaluate performance of the presented method, a fixed simply supported beam and two span continuous beam are considered containing single or multi cracks. The obtained results indicated that this method can provide a reliable tool to accurately identify cracks in beam structures under moving mass.

引用

页码：279 / 288

页数：10

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